ML surrogate · upstream of CFD
Know which designs are worth simulating,
before you run them.
We standardise pre-testing for simulation consultancies and engineering SMEs, so fewer runs are wasted and more margin is kept.
80+ student and 15+ industry interviews
Our mission
We're standardising the early-stage aerospace design process.
The problem
Every design loop starts with a guess.
01 · Not standardised
Assume
Designs are picked by experience, or by quick estimates nobody fully trusts.
02
Simulate
Days of setup before the first reliable run.
03
Review
Wrong? Start again.
↻ Dozens to hundreds of runs for one workable design.
Every wasted run costs margin and capacity.
Up to 6 months
to resolve one design problem
Aerospace propulsion engineer, interviewed Sept 2026
A day to a month
to prepare a single simulation
Simulation engineer, interviewed Sept 2026
~100 simulations
and a week of compute for one optimisation
CFD optimisation engineer, interviewed Oct 2026
Our solution
We standardise pre-testing.
01
You put in
All your design ideas, not just the few picked by gut feeling.
02
One standard check
Every design scored the same way, in seconds, on every project.
03
You get
A success score per design, with a range showing how far to trust it.
04
Result
Run only what's worth running.
An applications engineer told us that automating their workflow alone cut process time by up to four times. We go one step earlier: deciding what to run at all.
Work with us
We're looking for pilot partners.
Run a pilot
Bring a real design problem. Free 2-week trial, then a 6-week pilot for £1,500, credited against your first year. We measure the runs and days saved on your project.
Best for simulation consultancies and engineering SMEs.
Book a pilot conversationTry the free demo
Run an airfoil in your browser. No meshing, no licence, no setup. The demo stays free.
Open the demoPartners and investors
We're raising pre-seed by Q2 2027 and looking for partnerships with simulation consultancies and defence accelerators.
Get in touchThe team
Built around the problem.
Kaan Oktem
Chief Executive
Technical lead; optimisation work
Computer Science, University of Manchester
Ege Artan
Chief Product
Meshing and dataset pipeline
UTMIST research group, Toronto; author of three papers
Davut Karatas
Chief Technology
Surrogate model and training
Computer Science; UTMIST, Toronto
Ahmet Emre Arslan
Engineer
Aerospace Engineer; TAI; Von Karman Institute for Fluid Dynamics
Baramee Thanawarothon
Chief Revenue
BD and partnerships
Former venture capital analyst, TK & Partners (deep tech); Electrical Engineering, University of Manchester
Jackie Li
Business
Commercial pipeline and CRM
Economics and Finance, University of Manchester